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Methodologies and Data mining techniques for the analysis of Big Data based on Longitudinal Population and Epidemiological Registers

Objective

European societies face rapid social changes, challenges and benefits, which can be studied with traditional tools of analysis, but with serious limitations. This rapid transformation covers changes in family forms, fertility, the decline of mortality and increase of longevity, and periods of economic and social instability. Owing to population ageing across Europe, countries are now the experiencing the impact of these rapid changes on the sustainability of their welfare systems. At the same time, the use of the space and residential mobility has become a key topic, with migrations within the EU countries and from outside Europe being at the center of the political agenda. Over the past decade research teams across Europe have been involved in the development and construction of longitudinal population registers and large research databases, while opening up avenues for new linkages between different data sources (ie administrative and health data) making possible to gain an understanding of these fast societal transformations. However, in order to work with these types of datasets requires advanced skills in both data management and statistical techniques. LONGPOP aims to create network to utilize these different research teams to share experiences, construct joint research, create a training track for specialist in the field and increase the number of users of these large – possibly underused - databases, making more scientists and stakeholders aware of the richness in the databases.

Field of science

  • /natural sciences/computer and information sciences/data science/data analysis
  • /medical and health sciences/health sciences
  • /humanities
  • /social sciences/other social sciences/social sciences interdisciplinary/sustainable development
  • /natural sciences/computer and information sciences/databases
  • /social sciences/sociology/demography/mortality
  • /natural sciences/computer and information sciences/data science/big data
  • /natural sciences/computer and information sciences/data science/data mining
  • /social sciences/sociology/demography/fertility

Call for proposal

H2020-MSCA-ITN-2015
See other projects for this call

Funding Scheme

MSCA-ITN-ETN - European Training Networks

Coordinator

AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS
Address
Calle Serrano 117
28006 Madrid
Spain
Activity type
Research Organisations
EU contribution
€ 495 745,92

Participants (9)

KONINKLIJKE NEDERLANDSE AKADEMIE VAN WETENSCHAPPEN - KNAW
Netherlands
EU contribution
€ 510 748,56
Address
Kloveniersburgwal 29 Het Trippenhuis
1011 JV Amsterdam
Activity type
Other
LUNDS UNIVERSITET
Sweden
EU contribution
€ 527 318,64
Address
Paradisgatan 5C
22100 Lund
Activity type
Higher or Secondary Education Establishments
STICHTING KATHOLIEKE UNIVERSITEIT
Netherlands
EU contribution
€ 510 748,56
Address
Geert Grooteplein Noord 9
6525 EZ Nijmegen
Activity type
Higher or Secondary Education Establishments
UNIVERSITA DEGLI STUDI DI SASSARI
Italy
EU contribution
€ 258 061,32
Address
Piazza Universita 21
07100 Sassari
Activity type
Higher or Secondary Education Establishments
THE UNIVERSITY OF EDINBURGH
United Kingdom
EU contribution
€ 546 575,76
Address
Old College, South Bridge
EH8 9YL Edinburgh
Activity type
Higher or Secondary Education Establishments
KATHOLIEKE UNIVERSITEIT LEUVEN
Belgium
EU contribution
€ 250 560
Address
Oude Markt 13
3000 Leuven
Activity type
Higher or Secondary Education Establishments
UNIVERSITE DE GENEVE
Switzerland
EU contribution
€ 265 226,76
Address
Rue Du General Dufour 24
1211 Geneve
Activity type
Higher or Secondary Education Establishments
TELNET REDES INTELIGENTES SA
Spain
EU contribution
€ 247 872,96
Address
Calle Buenos Aires 18
50196 La Muela
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
ESRI ESPANA SOLUCIONES GEOESPACIALES SL
Spain
EU contribution
€ 247 872,96
Address
Calle Emilio Munoz 35
28037 Madrid
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)